508 search results - page 24 / 102 » Near-Optimal Regularization Parameters for Applications in C... |
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
ACCV
2006
Springer
14 years 1 months ago
2006
Springer
This paper addresses the problem of camera calibration using object silhouettes in image sequences. It is known that silhouettes encode information on camera parameters by the fact...
CVPR
2003
IEEE
14 years 9 months ago
2003
IEEE
In many applications of graphical models arising in computer vision, the hidden variables of interest are most naturally specified by continuous, non-Gaussian distributions. There...
CVPR
2011
IEEE
12 years 11 months ago
2011
IEEE
Modeling data by multiple low-dimensional planes is an important problem in many applications such as computer vision and pattern recognition. In the most general setting where on...
BMCBI
2010
13 years 7 months ago
2010
Background: The binding of peptide fragments of extracellular peptides to class II MHC is a crucial event in the adaptive immune response. Each MHC allotype generally binds a dist...